Datacast
Datacast
May 30, 2021
Episode 65: Chaos Theory, High-Frequency Trading, and Experimentations at Scale with David Sweet
Play • 57 min

Show Notes

  • (01:59) David recalled his undergraduate experience studying Physics and Mathematics at Duke University back in the early 90s.
  • (05:55) David reflected on his decision to pursue a Ph.D. in Physics at the University of Maryland, College Park, specializing in Nonlinear Dynamics and Chaos Theory.
  • (10:18) David unpacked his Nature paper called “Topology in Chaotic Scattering.”
  • (14:43) David went over his two papers on fractal dimensions in higher-dimensional chaotic scattering following his Nature publication.
  • (21:42) David talked about his project K Desktop Environment, which provides a free, user-friendly desktop for Linux/UNIX systems (later turned into a print book with MacMillan Publishing in 2000).
  • (24:20) David explained the premise behind his work on Andamooka, a site that supports open content.
  • (27:24) David walked over his time as a quantitative analyst at Thales Fund Management after finishing his Ph.D.
  • (30:50) David discussed his 4-year stint at Lehman Brothers — moving up the ladder into a Vice President role, up until Barclay’s Capital acquired it.
  • (33:24) David talked about his proudest accomplishment during the 5-year stint as a headdesk in equities trader at KCG/GETCO.
  • (35:37) David shared war stories while working at an investment firm called Teza Technologies and co-founding Galaxy Digital Trading (specializing in cryptocurrency trading).
  • (41:34) David unpacked key concepts covered in his guest lectures on optimization of high-frequency trading systems at NYU Stern School of Business.
  • (44:26) David explained his career change to work as a Machine Learning Engineer at Instagram in the summer of 2019.
  • (47:17) David briefly mentioned his transition back to a quant trader role at 3Red Partners.
  • (48:05) David is writing a technical book with Manning called “Tuning Up,” which provides a toolbox of experimental methods that will boost the effectiveness of machine learning systems, trading strategies, infrastructure, and more.
  • (50:48) David reflected on the benefits of his physics academic background for his quant analyst career.
  • (52:27) Closing segment.

David’s Contact Info

Mentioned Content

Publications

Book

People

  • Jim Simons (Founder of Renaissance Technologies)
  • Michael Kearns (Professor at the University of Pennsylvania, previously leading Morgan Stanley’s AI Center of Excellence)
  • Vasant Dhar (Professor at NYU Stern School of Business, Founder of SCT Capital)

Tuning Up — From A/B testing to Bayesian optimization

Manning’s permanent 40% discount code (good for all Manning products in all formats) for Datacast listeners: poddcast19.

You can refer to this link: http://mng.bz/4MAR.

Here are two free eBook codes to get copies of Tuning Up for two lucky Datacast listeners: tngdtcr-AB2C and tngdtcr-6D43

You can refer to this link: http://mng.bz/G6Bq.

More episodes
Search
Clear search
Close search
Google apps
Main menu